Exploring the Impact of Green Technology Innovation on Rural Habitat System Resilience DOI Creative Commons
Chulin Chen,

Nengxiang Xu,

Shouyun Shen

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 925 - 925

Published: April 24, 2025

Rural areas play an important role in the energy transition process, and understanding impact of green innovation on rural habitat system resilience is highly important. Using data from 30 provinces China 2011 to 2022, this study employs entropy method quantify examines relationship between using a fixed-effects model. The results indicate that for every one-unit increase innovation, increases by 0.012–0.018 units. Robustness tests, including replacing core explanatory variables, introducing one-period lag substituting model with GMM model, confirm reliability findings. Heterogeneity analysis reveals has greatest effect enhancing China’s central region. Further demonstrates indirectly strengthens increasing public concern about environmental pollution reinforcing regulation. These findings provide scientific basis improving communities integrating life, production, ecological systems through technological context carbon neutrality. They also contribute advancement sustainable development nature-based solutions.

Language: Английский

Exploring the Impact of Green Technology Innovation on Rural Habitat System Resilience DOI Creative Commons
Chulin Chen,

Nengxiang Xu,

Shouyun Shen

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 925 - 925

Published: April 24, 2025

Rural areas play an important role in the energy transition process, and understanding impact of green innovation on rural habitat system resilience is highly important. Using data from 30 provinces China 2011 to 2022, this study employs entropy method quantify examines relationship between using a fixed-effects model. The results indicate that for every one-unit increase innovation, increases by 0.012–0.018 units. Robustness tests, including replacing core explanatory variables, introducing one-period lag substituting model with GMM model, confirm reliability findings. Heterogeneity analysis reveals has greatest effect enhancing China’s central region. Further demonstrates indirectly strengthens increasing public concern about environmental pollution reinforcing regulation. These findings provide scientific basis improving communities integrating life, production, ecological systems through technological context carbon neutrality. They also contribute advancement sustainable development nature-based solutions.

Language: Английский

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